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What is Soflab G.A.L.L.?

The Soflab G.A.L.L. application is designed to anonymize sensitive information in non-production environments, making it easier to generate high-quality synthetic data that closely resembles actual datasets, which in turn streamlines testing processes. By protecting sensitive information, this application significantly reduces the risk of data leaks. It accomplishes this by replacing real data with artificial alternatives, thereby lowering the chances of data breaches and allowing for the identification of sensitive or incorrect entries. This leads to a reduction in both legal and financial liabilities while ensuring that customer transaction data remains secure. Furthermore, the application advocates for a cohesive approach to anonymization across different non-production systems, which helps maintain a consistent data model and ensures connections with production data are intact. Moreover, the synthetic data derived from key production attributes preserves the statistical integrity necessary for business intelligence and artificial intelligence applications. A centralized repository for test data enables controlled reuse, which not only cuts maintenance costs and speeds up deployment timelines—by as much as five days—but also supports effective simulation and the creation of reusable scenarios. In summary, the application not only enhances testing efficiency and prioritizes data security but also fosters innovation in data management practices. Consequently, organizations can confidently conduct their testing without the fear of compromising sensitive information.

What is DATPROF?

Transform, create, segment, virtualize, and streamline your test data using the DATPROF Test Data Management Suite. Our innovative solution effectively manages Personally Identifiable Information and accommodates excessively large databases. Say goodbye to prolonged waiting periods for refreshing test data, ensuring a more efficient workflow for developers and testers alike. Experience a new era of agility in your testing processes.

Media

No images available

Media

Integrations Supported

Integrations Supported

EDB Postgres Advanced Server
IBM Db2
Jenkins
MariaDB
Mendix
Microsoft Azure
MySQL
Oracle PeopleSoft
Oracle Siebel CRM
Parasoft
PostgreSQL
SQL Server
Salesforce
Tricentis Tosca

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Windows
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Soflab Technology Sp. z o.o.

Date Founded

2008

Company Location

Poland

Company Website

soflab.pl/en/

Company Facts

Organization Name

DATPROF

Date Founded

2005

Company Location

Netherlands

Company Website

www.datprof.com

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

Categories and Features

Compliance

Audit Management
HIPAA Compliance
ISO Compliance
Workflow / Process Automation

Data Analysis

Data Discovery

Data Discovery

Data Classification
Sensitive Data Identification

Data Governance

Data Discovery
Data Profiling

Data Masking

Not specified

Data Privacy Management

CCPA Compliance
Data Mapping
GDPR Compliance
Sensitive Data Identification

Data Quality

Data Discovery
Data Profililng

Data Security

Data Classification
Data Discovery
Data Masking
Database Security
Sensitive Data Compliance

GDPR Compliance

Sensitive Data Identification

Healthcare Compliance

Not specified

HIPAA Compliance

Audit Management
Compliance Reporting
Data Security

PCI Compliance

Compliance Reporting

Test Data Management

Not specified

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